Fast R-CNN

2000년 도입 · 논문 38편에서 사용

Fast R-CNN is an object detection model that improves in its predecessor R-CNN in a number of ways. Instead of extracting CNN features independently for each region of interest, Fast R-CNN aggregates them into a single forward pass over the image; i.e. regions of interest from the same image share computation and memory in the forward and backward passes.

출처: Fast R-CNN

소개 논문: Fast R-CNN